Attendees will learn from real scenarios where AI was applied to Data Quality and Data Privacy to better govern an organization’s data. Poor data quality is costing companies and federal agencies millions of dollars due to the need for manual rework, compliance related fines, etc. as well as opportunity costs. We will walk though financial services and healthcare industry case studies to illustrate how Numbers Theory and Machine Learning can be leveraged to discover data quality rules autonomously.

View the presentation, Applying AI and Machine Learning to Data Quality and Privacy